KEY:
MT machine translation
TQ translation quality
TT translation tools
LE language editing (pre/post editing)
ED education and MT
LL linguistic landscapes and signage
Abbasian, Gholam-Reza & Parisa Aslerasouli (2015) Comparison of Google Online Translation and
Human Translation with Regard to Soft vs. Hard Science Texts, Journal of Applied Linguistics and Language
Research Volume 2, Issue 3, 2015, pp. 169-184
MT, TQ found that GT and HT were similar, but does not mention the languages used. Waddington's model of
translation quality assessment (2001) could be useful; merits a read.
Agnihotri?, R. K., & Mc Cormick, K. (2010). Language in the Material World:
Multilinguality in Signage. International Multilingual Research Journal, 4(1), 55–81.
http://doi.org/10.1080/19313150903501133
Arenas, A. G. (2010). Exploring Machine Translation on the Web. Revista Tradumàtica, 1–6.
MT, TQ Compares 4 MT sites for Eng-Spanish, finds Bing and GT best. Some good lit review. --JY
Aucote?, H. M., Miner, A., & Dahlhaus, P. (2012). Interpretation and misinterpretation of
warning signage: Perceptions of rockfalls in a naturalistic setting. Psychology, Health &
Medicine, 17(5), 522–529. http://doi.org/10.1080/13548506.2011.644247
Bauder?, M., & Freytag, T. (2015). Visitor mobility in the city and the effects of travel
preparation. Tourism Geographies, 6688(September), 1–19. http://doi.org/10.1080/14616688.2015.1053971
Bruyèl-Olmedo, A., & Juan-Garau, M. (2013). Shaping tourist LL: language display and the
sociolinguistic background of an international multilingual readership. International Journal
of Multilingualism, 00(00), 1–17. http://doi.org/10.1080/14790718.2013.827688
LL Combines empirical data from a photographic database (=736 photos) with the self-reported sociolinguistic profile of 400 interviewees to explore sociolinguistic patterns in 2 tourist areas in Spain.
Callison-Burch, C. (2009). Fast, cheap, and creative: evaluating translation quality using
Amazon’s Mechanical Turk. In Proceedings of the 2009 Conference on Empirical Methods in Natural
Language Processing Volume 1 - EMNLP ’09. http://doi.org/10.3115/1699510.1699548]]
TQ, TT uses Amazon’s Mechanical Turk to pay small sums to a large number of non-expert annotators. for judgments on a translation task. Found that non-expert judgments have a high-level of agreement with the existing gold-standard judgments of machine translation quality
Doherty, S., & Kenny, D. (2014). The design and evaluation of a Statistical Machine Translation
syllabus for translation students. The Interpreter and Translator Trainer, 8(2), 295–315.
http://doi.org/10.1080/1750399X.2014.937571 ED Describes use of SMT in syllabus for graduate students of translation
Dowling?, T. (2012). Translated for the dogs: Language use in Cape Town signage. Language Matters,
43(2), 240–262. http://doi.org/10.1080/10228195.2012.688763
Dowling?, T., & Town, C. (2010). “Akuchanywa apha please” No peeing here please: The language of
signage in Cape Town. South African Journal of African Languages, 30(2), 192–208.
http://doi.org/10.1080/02572117.2010.10587346
Draper, J., & Nilaiyaka, A. (2014). Culture and language promotion in Thailand: implications for
the Thai Lao minority of introducing multilingual signage. Asian Ethnicity, 16(2), 203–234.
http://doi.org/10.1080/14631369.2014.906060
LL See below
Draper, J., & Prasertsri, P. (2013). The Isan Culture Maintenance and Revitalisation Programme’s
multilingual signage attitude survey. Journal of Multilingual and Multicultural Development, 34(7), 617–635.
http://doi.org/10.1080/01434632.2013.814659
LL Both of the articles above discuss the adoption of food and drink multilingual signage at a university in northern Thailand as part of a local cultural revitalization process.
Dressler, R. (2014). Signgeist: Promoting bilingualism through the linguistic landscape of
school signage. International Journal of Multilingualism, 0718(September). http://doi.org/10.1080/14790718.2014.912282
LL Explores use of bilingual signs in German-English elementary school in Western Canada from nexus analysis viewpoint.
Garcia, I. (n.d.). Can Machine Translation Help the Language Learner ? In ICT for Language Learning (pp. 4–7).
ED attempts to find uses for MT as aids for beginning language learners using beginning Spanish students
Garcia, I., & Pena, M. I. (2011). Machine translation-assisted language learning: writing for
beginners. Computer Assisted Language Learning, 24(5), 471–487. http://doi.org/10.1080/09588221.2011.582687
ED basically same as above
Gaspari?, F., Almaghout, H., & Doherty, S. (2015). A survey of machine translation competences:
insights for translation technology educators and practitioners. Perspectives, 6623(September), 1–26.
http://doi.org/10.1080/0907676X.2014.979842
Graddol?, D., Danielewicz-Betz, A., Tsai, N., Pym, P. J., Yokoyama, S., Kumano, A., … Zanettin, F. (2015).
Revising text: An empirical investigation of revision and the effects of integrating a TM and MT system
into the translation process. Asian Englishes, 24(2), 471–487. http://doi.org/10.1080/14631369.2014.906060
Harris?, D. A., & Parrish, D. E. (2006). The Art of Online Teaching: Online Instruction versus
In-Class Instruction. Journal of Technology in Human Studies, 24(3), 105–117. http://doi.org/10.1300/J017v24n02
Hughes?, K., Ballantyne, R., & Packer, J. (2014). Comparing Chinese and Western Visitors’ Responses
to Interpretive Signs at Chengdu Research Base of Giant Panda Breeding, China. Visitor Studies, 17(2),
137–158. http://doi.org/10.1080/10645578.2014.945344
Hutchins?, J. (2003). The Development and Use of Machine Translation Systems and Computer-based
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Hutchins?, J. (2004). Current commercial machine translation systems and computer-based
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Hutchins?, J. (2006). Example based machine translation – a review and commentary. Recent Advances in
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Institute?, A. R. (2010). 茨城県観光市場に関する調査.
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Jeanneret?, Y., Depoux, A., Luckerhoff, J., Vitalbo, V., & Jacobi, D. (2010). Written signage and reading
practices of the public in a major fine arts museum. Museum Management and Curatorship, 25(1), 53–67.
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Ko?, L. (2012). Information loss and change of appellative effect in Chinese-English public sign translation.
Babel-Revue Internationale De La Traduction-International Journal of Translation.
Koehn?, P. (n.d.). Europarl : A Parallel Corpus for Statistical Machine Translation, 11, 79–86.
Lamont?, M., & Causley, K. (2010a). Guiding the Way: Exploring cycle tourists’ needs and preferences
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Lewis?, K. (2010). Yellowtown: Urban Signage, Class, and Race. Design and Culture, 2(2), 183–198.
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Schneider?, E. W. (2014). Asian Englishes – into the future: a bird’s eye view. Asian Englishes, 16(3), 249–256.
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NIM *Shen?, Ethan (2010) Comparison of online machine translation tools
http://www.tcworld.info/e-magazine/translation-and-localization/article/comparison-of-online-machine-translation-tools/
Found 1) Google Translate is widely preferred when translating long passages 2) Microsoft Bing Translator and Yahoo Babelfish often produce better translations for phrases below 140 characters. 3) in general Babelfish performs well in East Asian Languages such as Chinese and Korean and Bing Translator performs well in Spanish, German, and Italian.
Shimohata?, S., Kitamura, M., Sukehiro, T., & Murata, T. (2001). Collaborative Translation Environment
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Yamada?, M. (2011). Revising text: An empirical investigation of revision and the effects of integrating
a TM and MT system into the translation process. Rikkyo University.
Yamada?, M. (2014). Can college students be post-editors? An investigation into employing language learners
in machine translation plus post-editing settings. Machine Translation, 29(1), 49–67.
http://doi.org/10.1007/s10590-014-9167-7
NIM Yamada?, Masaru (2013) Who will be post-editors. Introducing Translation Studies, 10 51-64 Aug 2013
http://honyakukenkyu.sakura.ne.jp/shotai_vol10/No_10-004-Yamada.pdf
NIM Yamada?, Masaru (2011) Applying ‘machine translation plus post-editing’ to a case of English-to-Japanese translation (9) 97-114
A study of the translation process through translators’ interim products
NIM Yamada?, Masaru (2010) The effect of translation memory database for productivity
Interpreting and Translation Studies (9) 159-176
NIM Yamada?, Masaru (11 Apr 2013) A pilot investigation on possibilities for novice translators to be post-editors in MT+PE settings,
TAUS Executive Forum in Tokyo.
NIM Yamada?, Masaru (19 Apr 2012) MT plus post-editing in an English-to-Japanese localization context: How useful can it be, compared to
translation memory, and how does it change professional translators’ production style? TAUS Executive Forum in Tokyo
NIM Yamada?, Masaru (Jun 2009) Effect of the use of TM in localization industries on the translation products and process
Graduate conference at Universitat Rovira I Virgili
Yates?, S. (2006). Translation Scaling the Tower of Babel Fish : An Analysis of the Machine of Legal
Information. Law Library Journal, 98(3), 481–500.
Yokoyama?, S., & Takano, Y. (2011). Investigation for Translation Disambiguation of Verbs in Patent Sentences
using Word Grouping. In Proceedings of the Machine Translation Summit XIII (MT Summit XIII) Workshop on Patent
Translation (pp. 60–63).
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http://www.academia.edu/11573216/Comparison_of_Google_Online_Translation_and_Human_Translation_with_Regard_to_
Soft_vs._Hard_Science_Texts
There is statistically a significant difference in the quality of HT and MT (i.e. GT) in favor of HT. Mode of translation affects its quality but text type does not have any significant effects on translation quality. No statistically significant relationship exists among translation errors and translation modes
NIM Matsudaira?, M. (1994) A pre-editing support system for Japanese-English machine translating.
Shizen gengo Shori p. 104-118.
Developed pre-editing support system for -E machine translation using patterns and rules. Suggests the following preedit patterns: division of longer sentences, addition of subject, object, blocking to show structure, fulfilling meaning, and other grammar changes. Hyo 4 is good.
ONLINE SITES
http://theconversation.com/learning-a-language-and-translating-the-web-does-duolingo-work-10687